{"id":"W3123465148","doi":"10.1002/trc2.12098","title":"CCCDTD5: Clinical role of neuroimaging and liquid biomarkers in patients with cognitive impairment","year":2020,"lang":"en","type":"review","venue":"Alzheimer s & Dementia Translational Research & Clinical Interventions","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Concordia University; McMaster University; University of Alberta; University of British Columbia; Centre hospitalier universitaire de Québec; Vancouver Coastal Health; Health Sciences Centre; McGill University; University of Calgary; Centre Hospitalier de l’Université de Montréal; Sunnybrook Health Science Centre; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Neuroimaging; Dementia; Positron emission tomography; Medicine; Magnetic resonance imaging; Biomarker; Pittsburgh compound B; Medical physics; Nuclear medicine; Psychology; Disease; Radiology; Pathology; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006000715,0.0005429399,0.002322466,0.001046555,0.0001758611,0.00008671413,0.0003979101,0.0003703417,0.0008215807],"category_scores_gemma":[0.001011301,0.0004427984,0.001926792,0.001323486,0.001541343,0.000274638,0.0003896889,0.002498191,0.0000882368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362757,"about_ca_system_score_gemma":0.00124825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005078869,"about_ca_topic_score_gemma":0.00004778039,"domain_scores_codex":[0.9886358,0.003249342,0.003810929,0.001381574,0.002064339,0.000857971],"domain_scores_gemma":[0.9931355,0.003744531,0.0005867818,0.0004116816,0.001338669,0.0007828104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002587188,0.005410427,0.215406,0.002381055,0.02274794,0.00006073178,0.00003673352,4.154101e-8,1.978479e-7,0.0001086175,0.0001474958,0.7511136],"study_design_scores_gemma":[0.01701809,0.02250354,0.6349539,0.04882834,0.03859523,0.00002063976,0.000234289,0.00009671437,0.000005776041,0.0002640476,0.2366073,0.0008721534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005757322,0.9868207,0.0001383606,0.0006290096,0.0001141359,0.00536471,0.0003801864,0.00003300447,0.0007625697],"genre_scores_gemma":[0.153707,0.8434619,0.0006615223,0.00007129347,0.0001577756,0.0004911751,0.001319325,0.0001109041,0.00001913039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7502414,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2473181923406871,"score_gpt":0.5292375482326971,"score_spread":0.28191935589201,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}